Application based adaptive encoding

ABSTRACT

A system and method for encoding dynamic image information for an image generated by a computer application executing on a processor. Various aspects of the present invention may comprise determining a first set of information describing a reference image. A second set of information may be determined for describing an image, wherein the second set of information comprises information indicative of movement between the image and the reference image. For example, a set of primary movement directions may be determined based at least in part on the computer application generating the image. Such set of primary movement directions may be utilized for analyzing the image relative to the reference images. The difference between the image and the reference image may, for example, be analyzed using at least one of the set of primary movement directions. A movement direction may, for example, be utilized to describe the image.

CROSS-REFERENCE TO RELATED APPLICATIONS/INCORPORATION BY REFERENCE

This patent application is related to and claims priority fromprovisional patent application Ser. No. 60/505,190 filed Sep. 23, 2003,and titled “APPLICATION BASED ADAPTIVE ENCODING,” the contents of whichare hereby incorporated herein by reference in their entirety.

FEDERALLY SPONSORED RESEARCH OR DEVELOPMENT

[Not Applicable]

SEQUENCE LISTING

[Not Applicable]

MICROFICHE/COPYRIGHT REFERENCE

[Not Applicable]

BACKGROUND OF THE INVENTION

Modern communication systems may communicate information of dynamicimages. For example, modern communication systems may communicateinformation of moving pictures, based on a sequential set of stillimages.

To provide for relatively efficient communication of dynamic imageinformation between systems over a communication medium, systems oftencommunicate encoded dynamic image information. For example, variousencoding formats may reduce the amount of information that must betransmitted to a receiving system to communicate the image to thereceiving system. Many of such encoding techniques include techniquesbased on communicating information absolutely describing a referenceimage, along with information describing relative difference (ormovement) between an image and the reference image. Examples of suchencoding may include, for example, various MPEG-style encodingtechniques.

Encoding information describing a reference image and relativedifference between an image and the reference image often includescomparing the images to the reference images by spatially shifting oneof the images in various directions and distances and comparing thespatially shifted image to the other image to determine if the spatialshift may be utilized to accurately describe the image relative to thereference image. Such spatial shifting and analysis may be veryinefficient, depending on the image sequence being encoded.

Further limitations and disadvantages of conventional and traditionalapproaches will become apparent to one of skill in the art, throughcomparison of such systems with the present invention as set forth inthe remainder of the present application with reference to the drawings.

BRIEF SUMMARY OF THE INVENTION

Various aspects of the present invention provide a system and method forencoding dynamic image information for an image generated by a computerapplication. Various aspects of the present invention may comprisedetermining a first set of information describing a reference image. Forexample, a reference image generation module may determine such a firstset of information.

A second set of information may be determined for describing an image,wherein the second set of information comprises information indicativeof movement (or difference) between the image and the reference image.For example, a motion estimation module may determine such a second setof information.

A set of primary movement directions and/or distances may be determinedbased at least in part on the computer application generating the image.The set may also be determined, for example, based on information ofuser interaction with the computer application, information of a viewbeing generated by the computer application, and/or information of imagemovement capability being provided to a user by the computerapplication. For example, a movement set determination sub-module of themotion estimation module may determine such a set of primary movementdirections and/or distances.

The set of primary movement directions and/or distances may be utilizedfor analyzing the image relative to the reference image. For example,one of the image and reference image may be displaced by one or more ofthe primary movement directions and/or distances (or a combinationthereof), and then compared to the non-displaced image for adetermination of accuracy. Such image analysis may, for example,comprise utilizing some or all of the set of primary movement directionsand/or distances. Such image analysis may, for example compriseutilizing a direction and/or distance not in the set of primarydirections and/or distances. For example, a motion estimation sub-moduleof the motion estimation module may perform such analysis.

A movement direction and/or distance may, for example, be utilized todescribe the image relative to the reference image. For example andwithout limitation, the image may be described relative to the referenceimage by describing the image relative to the reference image. Forexample, the image may be described by a movement direction and/ormovement distance relative to the reference image. For example, themotion estimation module or sub-module may generate such an imagedescription.

These and other advantages, aspects and novel features of the presentinvention, as well as details of illustrative aspects thereof, will bemore fully understood from the following description and drawings.

BRIEF DESCRIPTION OF SEVERAL VIEWS OF THE DRAWINGS

FIG. 1 is a flow diagram illustrating a method for application basedadaptive encoding of dynamic image information, in accordance withvarious aspects of the present invention.

FIG. 2 is a flow diagram illustrating a method for application basedadaptive encoding of dynamic image information, in accordance withvarious aspects of the present invention.

FIG. 3 is a diagram showing a system incorporating application basedadaptive encoding, in accordance with various aspects of the presentinvention.

FIG. 4 is a diagram showing a system for performing application basedadaptive encoding, in accordance with various aspects of the presentinvention.

FIG. 5 is a diagram showing an exemplary MPEG encoder for performingapplication based adaptive encoding, in accordance with various aspectsof the present invention.

DETAILED DESCRIPTION OF THE INVENTION

FIG. 1 is a flow diagram illustrating a method 100 for application basedadaptive encoding of dynamic image information, in accordance withvarious aspects of the present invention. The method 100 begins at step110. Various events and conditions may cause the method 100 to begin.For example, a user may request that a first system provide imageinformation to a second system, or the first system may automaticallydecide to provide such information. Generally, the method 100 may beinitiated for a variety of reasons. Accordingly, the scope of variousaspects of the present invention should not be limited bycharacteristics of particular initiating events or conditions.

The method, at step 120, comprises determining a first set ofinformation describing a reference image. Such a first set ofinformation may, for example, serve as a basis of comparison for one ormore subsequent images. For example and without limitation, an MPEGI-frame or portion thereof may be one of many examples of such a firstset of information. The first set of information may be determined basedon any of a variety of techniques for describing an image. Accordingly,the scope of various aspects of the present invention should not belimited by characteristics of a particular method for determining a setof information describing an image.

The method, at step 130, comprises determining a second set ofinformation describing an image. The second set of information maycomprise, for example, information indicative of movement between theimage and the reference image discussed with regard to step 120. Forexample and without limitation, an MPEG P-frame (or B-frame) or portionthereof may be one of many examples of such a second set of information.In the following discussion, the term “movement” is often usedinterchangeably with the terms “displacement” and “difference.” Forexample, a difference between two sequential images may be perceived orcharacterized as movement. Accordingly, the scope of various aspects ofthe present invention should not be limited by utilization of the terms“movement,” “displacement” or “difference” in a particular context.

Step 130 may, for example, comprise various sub-steps, some of which areillustrated as steps 132, 134 and 136 in FIG. 1, and discussed below. Itshould be noted that the sub-steps 132, 134 and 136 illustrated in FIG.1 are exemplary. Accordingly, step 130 may comprise each, none, or aportion of the exemplary sub-steps 132, 134 and 136. Further, step 130may comprise additional sub-steps not illustrated in FIG. 1.

The method 100, at step 132, may comprise determining, based at least inpart on the computer application (e.g., a computer software application)generating the image, a set of primary movement directions fordescribing the image relative to the reference image. The set of primarymovement directions may generally be utilized in encoding the image. Theset of primary movement directions may, for example, be an exclusive setof all movement directions that will be utilized for subsequent imageencoding. Alternatively, for example, the set of primary movementdirections may be a preferred set of movement directions that should beanalyzed for encoding an image prior to analyzing the image withmovement directions that are not in the set. Also, for example, the setof primary movement directions may comprise an ordered list of primarymovement directions that should be analyzed in sequential order forencoding an image.

The set of primary movement directions may, for example, include onlyone movement direction. Also, for example, the set of primary movementdirections may include two, four, eight, ten, sixteen, or any number ofmovement directions. In general, the set of primary movement directionsmay comprise a subset of all possible two or three dimensional movementdirections. Accordingly, the scope of various aspects of the presentinvention should not be limited by characteristics of a particularmovement direction or set of movement directions.

Step 132 may, for example, comprise acquiring information of thecomputer application that is generating the image to be encoded. Step132 may, for example, comprise analyzing such information to determinewhich computer application is generating the image. Step 132 maydetermine the set of primary movement directions based, at least inpart, on which computer application is generating the image.

For example, if a word processing application is generating the image,step 132 may comprise determining that the set of primary movementdirections comprises only up and down movement directions.Alternatively, for example, if a word processing application isgenerating the image, step 132 may comprise determining that the set ofprimary movement directions comprises only up, down, left and rightdirections. Also, for example, if a spreadsheet application isgenerating the image, step 132 may comprise determining that the set ofprimary movement directions comprises only up, down, left and rightdirections. Additionally, for example, if a two-dimensional drawingapplication is generating the image, step 132 may comprise determiningthat the set of primary movement directions comprises a subset of allpossible 2-dimensional movement directions. Also, for example, if arelatively low-quality gaming application is generating the image, step132 may comprise determining that the set of primary movement directionscomprises a set of sixteen movement directions in the general plane of atwo-dimensional view.

Step 132 may, for example, comprise determining the set of primarymovement directions in any of a large variety of ways. For example andwithout limitation, step 132 may comprise utilizing a table that assignsa particular set of primary movement directions to a particular computerapplication or particular type of computer application. Step 132 may,for example, comprise determining the set of primary movement directionsby performing an algorithm or solving an equation.

Step 132 may, for example, comprise determining the set of primarymovement directions based, at least in part, on how a user of thecomputer application is currently interacting with the computerapplication.

For example, a user may currently be scrolling down through a document.In such an exemplary scenario, step 132 may place the downward movementdirection at the highest priority in an ordered set of primary movementdirections. Also, for example, a user may currently be typing in a wordprocessing document or entering rows of values in a computerspreadsheet. In such an exemplary scenario, step 132 may place an upwardmovement direction at the highest priority in an ordered set of primarymovement directions. Additionally, for example, a user may currently becausing an image in a drawing package to move in a particular direction.In such an exemplary scenario, step 132 may place one or more movementdirections that generally represent the history or trend of the imagemovement at the highest priority in an ordered set of primary movementdirections.

In general, step 132 may comprise determining the set of primarymovement directions based, at least in part, on how a user of thecomputer application is currently interacting with the computerapplication. Accordingly, the scope of various aspects of the presentinvention should not be limited by characteristics of particular userinteractions or methods of utilizing information of such userinteractions to determine aspects of the set of primary movementdirections.

Step 132 may, for example, comprise determining the set of primarymovement directions, based at least in part, on characteristics of acurrent image view that the computer application is generating. Forexample and without limitation, a computer application may be generatinga view that represents the entire width of a document. In such anexemplary scenario, step 132 may comprise assigning up and down movementdirections to the set of primary movement directions, and removing leftand right movement directions from the set of primary movementdirections. Alternatively, in such an exemplary scenario, step 132 maycomprise changing order in an ordered set of primary movement directionsby, for example, assigning up and down movement directions to higherpriority positions in the ordered set.

Generally, the view that the computer application is generating mayinfluence the probability that the image will move in variousdirections. In general, step 132 may comprise utilizing information ofsuch a current view to determine, for example, membership or orderaspects of a set of primary movement directions. Accordingly, the scopeof various aspects of the present invention should not be limited bycharacteristics of a particular view or method for considering viewinformation in determining the set of primary movement directions.

Step 132 may, for example, comprise determining the set of primarymovement directions based, at least in part, on image movementcapability that the computer application is providing to the user. Forexample and without limitation, the computer application may beproviding a user the ability to scroll an image left and right, but notup and down. In such an exemplary scenario, step 132 may, for example,comprise determining that the set of primary movement directionscomprises left and right movement directions, but not up and downmovement directions. Alternatively, for example, when a user is viewingthe top of a graphical presentation image, the computer application mayonly provide for downward and left/right scrolling of the image. In suchas exemplary scenario, step 132 may, for example, comprise determiningthat the set of primary movement directions comprises down, left andright movement directions.

In general, step 132 may comprise determining the set of primarymovement directions based, at least in part, on image movementcapability that the computer application is providing to the user.Accordingly, the scope of various aspects of the present inventionshould not be limited to particular image movement capabilities ormethods for utilizing knowledge of such image movement capabilities fordetermining aspects of a set of primary movement directions.

The previous discussion mentioned various exemplary factors that step132 may consider in determining the set of primary movement directions.The previous examples are by no means an exclusive list. In general,step 132 may comprise determining the set of primary movement directionsbased, at least in part, on information of the computer applicationgenerating the image to be encoded. Accordingly, the scope of variousaspects of the present invention should not be limited bycharacteristics of a particular computer application, a particular setof movement directions, or a particular method for determining the setof primary movement directions.

The method 100, at step 134, may comprise analyzing the difference (ormovement) between the image and the reference image using at least oneof the set of primary movement directions established at step 132. Forexample and without limitation, step 134 may comprise moving the imageor reference image various distances in one of the set of primarymovement directions and determining a correlation at various pointsbetween the moved image and the unmoved image. Such a correlation may,for example, be considered in determining whether to utilize themovement direction for describing the image in relation to the referenceimage.

Step 134 may, for example, comprise utilizing each of the set of primarymovement directions to analyze the image relative to the referenceimage. For example, step 134 may utilize each of the set of primarymovement directions to analyze the image relative to the reference imageand then determine a best fit (e.g., the movement direction resulting inthe highest correlation). Also, for example, step 134 may comprisesequentially utilizing the movement directions in the set of primarymovement directions until step 134 determines that an appropriatemovement direction for describing the image relative to the referenceimage has been found (e.g., a correlation threshold is exceeded).

As mentioned previously, the set of primary movement directions may bean exclusive list of movement directions or a non-exclusive list ofmovement directions. For example step 134 may be limited to onlyutilizing the movement directions in the set of primary movementdirections to analyze the image relative to the reference image.Alternatively, for example, step 134 may comprise analyzing the imagerelative to the reference image in light of the set of primary movementdirections, unless the set of primary movement directions proves to beinadequate, in which case step 134 may utilize movement directions notin the set of primary movement directions.

In general, step 134 may comprise analyzing the image relative to thereference image in light of the set of primary movement directions.Accordingly, the scope of various aspects of the present inventionshould not be limited by characteristics of the previous exemplaryillustrations. For example, the scope of various aspects of the presentinvention should not be limited by whether the set of primary movementdirections represents an exclusive or non-exclusive list of movementdirections, or by whether the set of primary movement directions is aprioritized list. Also for example, the scope of various aspects of thepresent invention should not be limited by whether step 134 comprisesanalyzing the image relative to the reference image in light of aportion or all of the movement directions in the set of primary movementdirections, or by whether step 134 utilizes a best fit, threshold, orother metric to determine a movement direction to utilize for describingthe image relative to the reference image.

The method 100, at step 136, may comprise utilizing a movement directionto describe the image relative to the reference image. As discussedpreviously, step 134 may comprise analyzing the image relative to thereference image in light of the set of primary movement directions. Alsoas discussed previously, step 134 may comprise determining a movementdirection that is appropriate (or the most appropriate) for describingthe image relative to the reference image. Step 136 may compriseutilizing the appropriate (or most appropriate) movement direction fordescribing the image relative to the reference image.

Step 136 may, for example, comprise utilizing only one of the movementdirections in the set of primary movement directions to describe theimage relative to the reference image. Alternatively, for example, step136 may comprise utilizing a plurality of the movement directions in theset of primary movement directions to describe the image relative to thereference image. Also, for example, step 136 may comprise utilizing amovement direction that is not in the set of primary movement directionsto describe the image relative to the reference image.

The method 100, at step 140, may generally comprise performing furtherencoding, processing or communicating activities. For example, step 140may comprise determining a graphical portion of the image. Such agraphical portion of the image may comprise any of a variety ofgraphical images. For example and without limitation, the graphicalportion may comprise a window frame, icon, cursor, toolbar graphic, menulabel, pushbutton, or any graphical construct. Step 140 may, forexample, comprise determining movement of the graphical portion betweenthe image and the reference image. For example, in a scenario in which adynamic image comprising a moving cursor is being encoded, step 140 maycomprise determining movement of the cursor graphic in the imagerelative to the reference image. Such graphical and graphical movementinformation may, for example, be incorporated into the second set ofinformation or may alternatively, for example, be incorporated in aseparate set of information.

FIG. 2 is a flow diagram illustrating a method 200 for application basedadaptive encoding of dynamic image information, in accordance withvarious aspects of the present invention. The following discussion ofthe method 200 will include various aspects that were discussedpreviously with regard to the method 100 illustrated in FIG. 1, and willalso include various aspects that were not discussed previously. Themethods 100, 200 illustrated in FIGS. 1 and 2 are exemplaryillustrations of methods including a portion of various aspects of thepresent invention. Accordingly, by no means should the scope of variousaspects of the present invention be limited by characteristics of theexemplary methods 100, 200 as shown and discussed.

The method begins at step 210. Various events and conditions may causethe method 200 to begin. For example, a user may request that a firstsystem provide image information to a second system, or the first systemmay automatically decide to provide such information. Generally, themethod 200 may be initiated for a variety of reasons and by a variety ofconditions. Accordingly, the scope of various aspects of the presentinvention should not be limited by characteristics of particularinitiating events or conditions.

The method, at step 220, comprises determining a first set ofinformation describing a reference image. Such a first set ofinformation may, for example, serve as a basis of comparison for one ormore subsequent images. For example and without limitation, an MPEGI-frame or portion thereof may be one of many examples of such a firstset of information. The first set of information may be determined basedon any of a variety of techniques for describing an image. Accordingly,the scope of various aspects of the present invention should not belimited by characteristics of a particular method for determining a setof information describing an image.

The method, at step 225, comprises determining a second set ofinformation describing an image. The second set of information maycomprise, for example, information indicative of movement between theimage and the reference image discussed with regard to step 220. Forexample and without limitation, an MPEG P-frame (or B-frame) or portionthereof may be one of many examples of such a second set of information.

Step 225 may, for example, share various aspects with step 130 discussedpreviously with regard to the method 100 shown in FIG. 1. Step 225 may,for example, comprise various sub-steps, some of which are illustratedas steps 230-295 in FIG. 2 and discussed below. It should be noted thatthe sub-steps 230-295 illustrated in FIG. 2 are exemplary. Accordingly,step 225 may comprise each, none, or a portion of the exemplarysub-steps 230-295. Further, step 225 may comprise additional sub-stepsnot illustrated in FIG. 2.

The method 200, at step 230, may comprise determining applicationinformation regarding the computer application that is generating theimage. Step 230 may, for example, comprise acquiring applicationinformation from the computer application or the computer operatingsystem. Such information may, for example, be utilized in subsequentsteps (e.g., steps 270 and 280) to determine one or more sets of primarymovement information. Such application information may comprise, forexample, computer application name, computer application type (e.g.,word processor, spreadsheet application, drawing application, slidepresentation package, video game), and computer application imageprocessing capabilities. In general, the application information maycomprise any of a large variety of information regarding the computerapplication, particularly such information that may be of use in makingimage-encoding decisions.

The method 200, at step 240, may comprise determining characteristics ofan image view that the computer application is generating. Step 240 may,for example, comprise acquiring image view information from the computerapplication or computer operating system. Such information may, forexample, be utilized in subsequent steps (e.g., steps 270 and 280) todetermine one or more sets of primary movement information. Such imageview characteristics may, for example, comprise view width and heightinformation. For example, image view characteristics may compriseinformation of whether the computer application is currently generatinga view of an entire width or height of a document, drawing,presentation, etc. In general, the image view information may compriseany of a large variety of characteristics of a view, particularly suchinformation that may be of use in making image-encoding decisions.

The method 200, at step 250, may comprise determining image movementcapability that the computer application is providing. Step 250 may, forexample, comprise acquiring application information from the computerapplication or the computer operating system. Such information may, forexample, be utilized in subsequent steps (e.g., steps 270 and 280) todetermine one or more sets of primary movement information. Such imagemovement capability may, for example, comprise view scrollingcharacteristics, linefeed characteristics, row and column height, fontcharacteristics, view zooming characteristics, etc. In general, theimage movement capability may comprise any of a large variety of imagemovement characteristics, particularly such information that may be ofuse in making image-encoding decisions.

The method 200, at step 260, may comprise determining how a user iscurrently interacting with the computer application in viewing theimage. Step 260 may, for example, comprise acquiring applicationinformation from the computer application or the computer operatingsystem. Such information may, for example, be utilized in subsequentsteps (e.g., steps 270 and 280) to determine one or more sets of primarymovement information. User interaction characteristics may, for example,comprise whether a user is currently scrolling or in what direction auser is currently scrolling. User interaction characteristics may, forexample, comprise whether the user is typing text or populating fieldsin a spreadsheet (e.g., by row or by column), whether the user is usingkeyboard arrow keys, etc. In general, the image movement capability maycomprise any of a large variety of user interaction characteristics,particularly such information that may be of use in makingimage-encoding decisions.

The method 200, at step 270, may comprise determining, based at least inpart on the computer application generating the image, a set of primarymovement directions for describing the image relative to the referenceimage. The set of primary movement directions may generally be utilizedin encoding the image. The set of primary movement directions may, forexample, be an exclusive set of all movement directions that will beutilized for subsequent image encoding. Alternatively, for example, theset of primary movement directions may be a preferred set of movementdirections that should be analyzed for encoding an image prior toanalyzing the image with movement directions that are not in the set.Also, for example, the set of primary movement directions may comprisean ordered list of primary movement directions that should be analyzedin sequential order for encoding an image.

The set of primary movement directions may, for example, include onlyone movement direction. Also, for example, the set of primary movementdirections may include two, four, eight, ten, sixteen, or any number ofmovement directions. In general, the set of primary movement directionsmay comprise a subset of all possible two or three dimensional movementdirections. Accordingly, the scope of various aspects of the presentinvention should not be limited by characteristics of a particularmovement direction or set of movement directions.

Step 270 may, for example, comprise analyzing computer applicationinformation determined at step 230. Step 270 may determine the set ofprimary movement directions based, at least in part, on which computerapplication is generating the image.

For example, if a word processing application is generating the image,step 270 may comprise determining that the set of primary movementdirections comprises only up and down movement directions.Alternatively, for example, if a word processing application isgenerating the image, step 270 may comprise determining that the set ofprimary movement directions comprises only up, down, left and rightdirections. Also, for example, if a spreadsheet application isgenerating the image, step 270 may comprise determining that the set ofprimary movement directions comprises only up, down, left and rightdirections. Additionally, for example, if a two-dimensional drawingapplication is generating the image, step 270 may comprise determiningthat the set of primary movement directions comprises a subset of allpossible 2-dimensional movement directions. Also, for example, if arelatively low-quality gaming application is generating the image, step270 may comprise determining that the set of primary movement directionscomprises a set of sixteen movement directions in the general plane of atwo-dimensional image view.

Step 270 may, for example, comprise determining the set of primarymovement directions in any of a large variety of ways. For example andwithout limitation, step 270 may comprise utilizing a table that assignsa particular set of primary movement directions to a particular computerapplication or particular type of computer application. Step 270 may,for example, comprise determining the set of primary movement directionsby executing an algorithm or solving an equation.

Step 270 may, for example, comprise analyzing user interactioninformation determined at step 260. Step 270 may, for example, comprisedetermining the set of primary movement directions based, at least inpart, on how a user of the computer application is currently interactingwith the computer application.

For example, a user may currently be scrolling down through a document.In such an exemplary scenario, step 270 may comprise placing thedownward movement direction at the highest priority in an ordered set ofprimary movement directions. Also, for example, a user may currently betyping in a word processing document or entering rows of values in acomputer spreadsheet. In such an exemplary scenario, step 270 maycomprise placing an upward movement direction at the highest priority inan ordered set of primary movement directions. Additionally, forexample, a user may currently be causing an image in a drawing packageto move in a particular direction. In such an exemplary scenario, step270 may comprise placing one or more movement directions that generallyrepresent the history or trend of the image movement at the highestpriority in an ordered set of primary movement directions.

In general, step 270 may comprise determining the set of primarymovement directions based, at least in part, on how a user of thecomputer application is currently interacting with the computerapplication. Accordingly, the scope of various aspects of the presentinvention should not be limited by characteristics of particular userinteractions or methods of utilizing information of such userinteractions to determine aspects of the set of primary movementdirections.

Step 270 may, for example, comprise analyzing view characteristicinformation determined at step 240. Step 270 may, for example, comprisedetermining the set of primary movement directions based, at least inpart, on characteristics of a current image view that the computerapplication is generating.

For example and without limitation, a computer application may begenerating a view that represents the entire width of a document. Insuch an exemplary scenario, step 270 may comprise assigning up and downmovement directions to the set of primary movement directions, andremoving left and right movement directions from the set of primarymovement directions. Alternatively, in such an exemplary scenario, step270 may comprise changing order in an ordered set of primary movementdirections by, for example, assigning up and down movement directions tohigher priority positions in the ordered set.

Generally, the view that the computer application is generating mayinfluence the probability that the image will move in variousdirections. In general, step 270 may comprise utilizing information ofsuch a current view to determine, for example, membership or orderaspects of a set of primary movement directions. Accordingly, the scopeof various aspects of the present invention should not be limited bycharacteristics of a particular view or method for considering viewinformation in determining the set of primary movement directions.

Step 270 may, for example, comprise analyzing image movement capabilitydetermined at step 250. Step 270 may, for example, comprise determiningthe set of primary movement directions based, at least in part, on imagemovement capability that the computer application is providing to theuser.

For example and without limitation, the computer application may beproviding a user the ability to scroll an image left and right, but notup and down. In such an exemplary scenario, step 270 may, for example,comprise determining that the set of primary movement directionscomprises left and right movement directions, but not up and downmovement directions. Alternatively, for example, when a user is viewingthe top of a graphical presentation image, the computer application mayonly provide for downward and left/right scrolling of the image. In suchas exemplary scenario, step 270 may, for example, comprise determiningthat the set of primary movement directions comprises down, left andright movement directions.

In general, step 270 may comprise determining the set of primarymovement directions based, at least in part, on image movementcapability that the computer application is providing to the user.Accordingly, the scope of various aspects of the present inventionshould not be limited to particular image movement capabilities ormethods for utilizing knowledge of such image movement capabilities fordetermining aspects of a set of primary movement directions.

The previous discussion mentioned various exemplary factors that step270 may consider in determining the set of primary movement directions.The previous examples are by no means an exclusive list. In general,step 270 may comprise determining the set of primary movement directionsbased, at least in part, on information of the computer applicationgenerating the image to be encoded. Accordingly, the scope of variousaspects of the present invention should not be limited bycharacteristics of a particular computer application, a particular setof movement directions, or a particular method for determining the setof primary movement directions.

The method 200, at step 280, may comprise determining, based at least inpart on the computer application generating the image, a set of primarymovement distances for describing the image relative to the referenceimage. The set of primary movement distances may, for example,correspond to respective movement directions in the set of primarymovement directions determined at step 270. The set of primary movementdistances may generally be utilized in encoding the image. The set ofprimary movement distances may, for example, be an exclusive set of allmovement distances that will be utilized for subsequent image encoding.Alternatively, for example, the set of primary movement distances may bea preferred set of movement distances that should be analyzed forencoding an image prior to analyzing the image with movement distancesthat are not in the set. Also, for example, the set of primary movementdistances may comprise an ordered list of primary movement distancesthat should be analyzed in sequential order for encoding an image.

The set of primary movement distances may, for example, comprise onlyone movement distance. Also, for example, the set of primary movementdistances may include one, two, three, four, or any number of movementdistances. In general, the set of primary movement distances maycomprise a subset of all possible movement distances. Accordingly, thescope of various aspects of the present invention should not be limitedby characteristics of a particular movement distances or set of movementdistances.

Step 280 may, for example, comprise analyzing computer applicationinformation determined at step 230. Step 280 may comprise determiningthe set of primary movement distances based, at least in part, on whichcomputer application is generating the image.

For example, if a word processing application is generating the image,step 280 may comprise determining that the set of primary movementdistances comprises a typical linefeed or scroll step distance.Alternatively, for example, if a word processing application isgenerating the image, step 280 may comprise determining that the set ofprimary movement distances comprises linefeed, scroll step, tab,standard indentation and various character space distances. Also, forexample, if a spreadsheet application is generating the image, step 280may comprise determining that the set of primary movement distancescomprises row height, column width and scroll step distances.Additionally, for example, if a two-dimensional drawing application isgenerating the image, step 280 may comprise determining that the set ofprimary movement distances comprises a subset of all of the possible2-dimensional movement directions, where the subset includes distancesstatistically determined to be common for such application. Also, forexample, if a relatively low-quality gaming application is generatingthe image, step 280 may comprise determining that the set of primarymovement distances comprises a set of the 10 most common movementdistances.

Step 280 may, for example, comprise determining the set of primarymovement distances in any of a large variety of ways. For example andwithout limitation, step 280 may comprise utilizing a table that assignsa particular set of primary movement distances to a particular computerapplication or particular type of computer application. Step 280 may,for example, comprise determining the set of primary movement distancesby executing an algorithm or solving an equation.

Step 280 may, for example, comprise analyzing user interactioninformation determined at step 260. Step 280 may, for example, comprisedetermining the set of primary movement distances based, at least inpart, on how a user of the computer application is currently interactingwith the computer application.

For example, a user may currently be scrolling down through a documentin fixed increments. In such an exemplary scenario, step 280 maycomprise placing the fixed scroll increment at the highest priority inan ordered set of primary movement distances. Also, for example, a usermay currently be typing in a word processing document or entering rowsof values in a computer spreadsheet. In such an exemplary scenario, step280 may comprise placing a typical linefeed, row height or column widthat the highest priority in an ordered set of primary movement distances.Additionally, for example, a user may currently be shifting an image ina drawing package by a regular distance. In such an exemplary scenario,step 280 may comprise placing one or more movement distances thatgenerally represent the history or trend of the image movement at thehighest priority in an ordered set of primary movement distances.

In general, step 280 may comprise determining the set of primarymovement distances based, at least in part, on how a user of thecomputer application is currently interacting with the computerapplication. Accordingly, the scope of various aspects of the presentinvention should not be limited by characteristics of particular userinteractions or methods of utilizing information of such userinteractions to determine aspects of the set of primary movementdistances.

Step 280 may, for example, comprise analyzing view characteristicinformation determined at step 240. Step 280 may, for example, comprisedetermining the set of primary movement distances based, at least inpart, on characteristics of a current image view that the computerapplication is generating.

For example and without limitation, a computer application may begenerating a view that represents the entire width of a document. Insuch an exemplary scenario, step 280 may comprise assigning typical upand down scroll increments to the set of primary movement distances, andremoving left and right scroll increments from the set of primarymovement distances. Also, in such an exemplary scenario, step 280 maycomprise modifying various common step sizes in the set of primarydistances (e.g., linefeed step size and scroll step size).Alternatively, in such an exemplary scenario, step 280 may comprisechanging the order in an ordered set of primary movement distances by,for example, assigning scroll step distances to higher prioritypositions in the ordered set.

Generally, the view that the computer application is generating mayinfluence the probability that the image will move various distances. Ingeneral, step 280 may comprise utilizing information of such a currentview to determine, for example, membership or order aspects of a set ofprimary movement distances. Accordingly, the scope of various aspects ofthe present invention should not be limited by characteristics of aparticular view or method for considering view information indetermining the set of primary movement distances.

Step 280 may, for example, comprise analyzing image movement capabilitydetermined at step 250. Step 280 may, for example, comprise determiningthe set of primary movement distances based, at least in part, on imagemovement capability that the computer application is providing to theuser.

For example and without limitation, the computer application may beproviding a user the ability to scroll an image left and right, but notup and down. In such an exemplary scenario, step 280 may, for example,comprise determining that the set of primary movement distancescomprises typical left-right scroll step distances, but not up and downscroll step distances. Alternatively, for example, when a wordprocessing computer application is not providing a user the ability toscroll an image, step 270 may, for example, comprise determining thatthe set of primary movement distances comprises a linefeed distance in ahigh priority position in the set.

In general, step 280 may comprise determining the set of primarymovement distances based, at least in part, on image movement capabilitythat the computer application is providing to the user. Accordingly, thescope of various aspects of the present invention should not be limitedto particular image movement capabilities or methods for utilizingknowledge of such image movement capabilities for determining aspects ofa set of primary movement distances.

The previous discussion mentioned various exemplary factors that step280 may consider in determining the set of primary movement distances.The previous examples are by no means an exclusive list. In general,step 280 may comprise determining the set of primary movement distancesbased, at least in part, on information of the computer applicationgenerating the image to be encoded. Accordingly, the scope of variousaspects of the present invention should not be limited bycharacteristics of a particular computer application, a particular setof movement distances, or a particular method for determining the set ofprimary movement distances

The method 200, at step 290, may comprise analyzing the difference (ormovement) between the image and the reference image in light of at leastone of the set of primary movement directions (developed at step 270)and/or in light of at least one of the set of primary movement distances(developed at step 280). For example and without limitation, step 290may comprise moving the image or reference image one of the set ofprimary movement distances in one of the set of primary movementdirections and determining a correlation at various points between themoved image and the unmoved image. Such a correlation may, for example,be considered in determining whether to utilize the movement distanceand/or direction for describing the image in relation to the referenceimage.

Step 290 may, for example, comprise utilizing some or all of the set ofprimary movement directions and/or some or all of the set of primarymovement distances to analyze the image relative to the reference image.For example, step 290 may utilize a subset of the set of primarymovement directions and a subset of each of the set of primary movementdistances to analyze the image relative to the reference image and thendetermine a best fit (e.g., the movement distance direction resulting inthe highest correlation between the image and the reference image).Also, for example, step 290 may comprise sequentially utilizing themovement directions in the set or primary directions and/or the movementdistances in the set of primary movement distances until step 290determines that an appropriate movement direction and distance fordescribing the image relative to the reference image has been found(e.g., a correlation threshold is exceeded).

As mentioned previously, the sets of primary movement directions and/ordistances may be exclusive lists of movement directions and/or distancesor non-exclusive lists of movement directions and/or distances. Forexample, step 290 may be limited to only utilizing the movementdirections and distances in the sets of primary movement directions anddistances to analyze the image relative to the reference image.Alternatively, for example, step 290 may comprise analyzing the imagerelative to the reference image in light of the set of primary movementdirections and/or distances, unless the set of primary movementdirections and/or distances proves to be inadequate, in which case step134 may utilize movement directions and/or distances not in the set ofprimary movement directions and/or distances.

In general, step 290 may comprise analyzing the image relative to thereference image in light of the sets of primary movement directionsand/or distances. Accordingly, the scope of various aspects of thepresent invention should not be limited by characteristics of theprevious exemplary illustrations. For example, the scope of variousaspects of the present invention should not be limited by whether thesets of primary movement directions and/or distances represent anexclusive or non-exclusive set of movement options, or by whether thesets of primary movement directions and/or distances are prioritizedlists. Also for example, the scope of various aspects of the presentinvention should not be limited by whether step 290 comprises analyzingthe image relative to the reference image in light of a portion or allof the movement directions and/or distances in the sets of primarymovement directions and distances, or by whether step 290 utilizes abest fit, threshold, or other metric to determine a movement directionand/or distance to utilize for describing the image relative to thereference image.

The method 200, at step 295, may comprise utilizing a movement directionand/or distance to describe the image relative to the reference image.As discussed previously, step 290 may comprise analyzing the imagerelative to the reference image in light of the set of primary movementdirections and/or primary movement distances. Also as discussedpreviously, step 290 may comprise determining a movement directionand/or distance that is appropriate (or the most appropriate) fordescribing the image relative to the reference image. Step 295 maycomprise utilizing the appropriate (or most appropriate) movementdirection and/or distance for describing the image relative to thereference image.

Step 295 may, for example, comprise utilizing only one or a plurality ofthe movement directions in the set of primary movement directions todescribe the image relative to the reference image. Similarly, forexample, step 295 may comprise utilizing only one or a plurality of themovement distances in the set of primary movement distances to describethe image relative to the reference image. Also, for example, step 295may comprise utilizing a movement direction and/or distance that are notin the sets of primary movement directions and distances to describe theimage relative to the reference image.

The method 200, at step 298, may generally comprise performing furtherencoding, processing or communicating activities. For example, step 298may comprise determining a graphical portion of the image. Such agraphical portion of the image may comprise any of a variety ofgraphical images. For example and without limitation, the graphicalportion may comprise a window frame, icon, cursor, toolbar graphic, menulabel, pushbutton, or any graphical construct. Step 298 may, forexample, comprise determining movement of the graphical portion betweenthe image and the reference image. For example, in a scenario in which adynamic image comprising a moving cursor is being encoded, step 298 maycomprise determining movement of the cursor graphic in the imagerelative to the reference image. Such graphical and graphical movementinformation may, for example, be incorporated into the second set ofinformation or may alternatively, for example, be incorporated in aseparate set of information.

FIG. 3 is a diagram showing a system 300 incorporating application basedadaptive encoding, in accordance with various aspects of the presentinvention. The exemplary system 300 may comprise a first system 310(System A) and a second system 350 (System B). In the exemplary system300, the first system 310 may comprise a desktop computing station, andthe second system 350 may comprise a laptop or notebook computingsystem. Note, however, that the scope of various aspects of the presentinvention should by no means be limited by characteristics of theexemplary system configuration 300 shown in FIG. 3.

The first exemplary system 310 may comprise a processing unit 312. Theprocessing unit 312 may, for example, execute a computer application togenerate an image or set of images 315 for presentation on a display320. The previous discussion and the following discussion generallydiscuss encoding a dynamic image. It should be noted that the scope ofvarious aspects of the present invention should not be limited to thecharacteristics of the image. For example, the scope of various aspectsof the present invention should not be limited by the dimensions of animage, or whether an image is one image in a set of images, or whetheran image is only a portion of a larger image. Accordingly, though thefollowing discussion may refer to the image or set of images 315 as animage 315, this should not be construed as limiting the term “image” inany way.

A user of the first system 310 may, for example, utilize a keyboard 330and mouse 335 to interact with the processing unit 312 and the computerapplication executing thereon. The computer application mayautonomously, or in conjunction with user interaction with theprocessing unit 312, cause the image 315 to move or change within itsviewing window on the display 320. Accordingly, the image 315 mayexhibit various dynamic image characteristics.

The processing unit 312 may comprise an encoder, for example a real-timeencoder 325, to encode information of the dynamic image 315 forcommunication to another entity (e.g., over a wireless communicationnetwork). For example, the real-time encoder 325 may encode informationof the dynamic image 315 for transmission to the second system 350.

As mentioned previously, the second system 350 may comprise a laptop ornotebook computing system. The second system 350 may, for example,comprise a decoder 355 for decoding encoded information of the dynamicimage 315 communicated to the second system 350 by the first system 310.The second system 350 may, for example, utilize the decoded informationof the dynamic image 315 to present a view of the dynamic image 360 on adisplay 365 of the second system 350.

FIG. 4 is a diagram showing a system 400 for performing applicationbased adaptive encoding, in accordance with various aspects of thepresent invention. Various components of the system 400 may, forexample, perform operations as discussed previously with regard to FIGS.1-3. Accordingly, the following discussion will often, for example,refer to aspects of the methods 100, 200 illustrated in FIGS. 1-2 anddiscussed previously. However, it is to be stressed at this point thatthe scope of various aspects of the present invention should not belimited by characteristics of the exemplary methods 100, 200.

The exemplary system 400 may comprise a first sub-system 410 and anencoder module 450. The exemplary first sub-system 410 may, for example,comprise a processor 415, an application memory 420, and a userinterface module 425. The exemplary encoder module 450 may, for example,comprise a reference image generation module 455, a motion estimationmodule 460, an information stream generation module 465, a communicationmodule 470 and a graphics-processing module 475. The first sub-system410 and the encoder module 450 may be communicatively coupled through acommunication link 445. Such a communication link 445 may, for example,comprise a wired, wireless, tethered optical, or non-tethered opticallink. The first sub-system 410 and the encoder module 450 may, forexample, be co-located or geographically dispersed.

The processor 415 of the exemplary first sub-system 410 may, forexample, execute a computer application. The computer application may,for example, be stored in the application memory 420. The processor 415,executing the computer application, may generate a dynamic image. Theprocessor 415 may utilize the user interface module 425 to present thedynamic image on a user interface device 430. Additionally, a user ofthe first system 410 may, for example, utilize a user interface device430 to interface with the processor 415 executing the computerapplication. Such user interaction may result in modifications to thedynamic image being generated by the processor 415 executing thecomputer application. The first sub-system 410 may, for example,communicate information of the dynamic image to the second sub-system450 over the communication link 445.

The exemplary encoder module 450 may comprise a reference imagegeneration module 455. The reference image generation module 450 may,for example and without limitation, implement various aspects ofreference image information determination as discussed previously withregard to steps 120 and 220 illustrated in FIGS. 1-2. Such referenceimage information may, for example, be utilized by other components ofthe encoder module 450. The reference image generation module 455generally determines a first set of information describing a referenceimage.

The exemplary encoder module 450 may comprise a motion estimation module460. The motion estimation module 460 may, for example, determine asecond set of information describing an image, where the second set ofinformation may comprise information indicative of movement (ordifference) between the image and a reference image. The encoder module450 may, for example and without limitation, implement various aspectsof second set of information determination as discussed previously withregard to steps 130 and 225 illustrated in FIGS. 1-2. The second set ofinformation may, for example, comprise information indicative ofmovement between the image and the reference image.

The motion estimation module 460 may, for example, comprise a movementset determination sub-module 461 and a motion estimation sub-module 462.The movement set determination sub-module 461 may, for example,determine, based at least in part on the computer application generatingan image, a set of primary movement directions and/or distances fordescribing the image relative to a reference image. The movement setdetermination sub-module 461 may, for example and without limitation,implement various aspects of movement set determination as discussedpreviously with regard to steps 132, 270 and 280 illustrated in FIGS.1-2. The movement set determination sub-module 461 may also, forexample, implement various aspects of steps 230-260 illustrated in FIG.2 and discussed previously.

For example, the movement set determination sub-module 461 may determinean ordered list of movement directions and/or distances based, at leastin part, on the computer application generating the image. The order ofsuch a list may, for example, be a function of the likelihood of theimage being displaced a particular direction and/or distance relative tothe reference image.

The movement set determination sub-module 461 may, for example,determine various aspects (e.g., composition and/or order) of the set ofprimary movement directions and/or distances based on information of howa user is currently interacting with the computer application generatingthe image. The movement set determination sub-module 461 may, forexample, determine various aspects of the set of primary movementdirections and/or distances based on characteristics of a current viewbeing generated by the computer application. Also, for example, themovement set determination sub-module 461 may determine various aspectsof the set of primary movement directions and/or distances based onimage movement capabilities being provided to a user by the computerapplication. Further, for example, the movement set determinationsub-module 461 may determine various aspects of the set of primarymovement directions and/or distances based on any of a large variety ofconditions that may affect the likelihood that an image will bedisplaced a particular direction and/or distance relative to a referenceimage.

The movement set determination sub-module 461 may, for example andwithout limitation, implement various aspects of the methods 100, 200illustrated in FIGS. 1 and 2. For example, the movement setdetermination sub-module 461 may perform various aspects of steps 132and 270, as discussed previously. Further, for example, the movement setdetermination sub-module 461 may perform various aspects of exemplarysteps 230-260 illustrated in FIG. 2 and discussed previously.

The motion estimation module 460 may comprise a motion estimationsub-module 462. The motion estimation sub-module 462 may, for example,analyze an image relative to a reference image in light of the set ofprimary movement directions and/or distances determined by the movementset determination sub-module 461. The motion estimation sub-module 462may, for example and without limitation, implement various aspects ofmethod steps 134 and 290 illustrated in FIGS. 1-2 and discussedpreviously. For example, the motion estimation sub-module 462 maygenerate a signal indicate of relative displacement (or movement) of theimage relative to the reference image. Such a signal may, for example,comprise information of direction and distance of the image relative tothe reference image.

The motion estimation sub-module 462 may, for example, analyze the imagerelative to the reference image in light of a portion or all of themovement directions and/or distances in a set of primary movementdirections and/or distances. The motion estimation sub-module 462 may,for example, analyze the image relative to the reference image in lightof directions and/or distances that are not in a set of primary movementdirections and/or distances. For example, the motion estimationsub-module 462 may first analyze the image relative to the referenceimage in light of information in the set of primary movement directionsand/or distances, and then analyze the image in light of other movementdirections and/or distances.

The motion estimation sub-module 462 may, for example, analyze the imagerelative to the reference image utilizing various movement directionsand/or distances until a predetermined accuracy threshold is reached(e.g., a correlation level). Alternatively, for example, the motionestimation sub-module 462 may analyze the image relative to thereference image utilizing a set of various movement directions and/ordistances and then compare accuracy indications resulting from thevarious movement directions and/or distances to determine a best fit.

The motion estimation sub-module 462 may, for example, generate a signalcomprising a description of the image relative to the reference image.For example and without limitation, the motion estimation sub-module 462may implement various aspects of method steps 136 and 295 illustrated inFIGS. 1-2 and discussed previously. Such a signal may, for example,comprise information of the image or sub-images thereof, and informationof displacement between the image or sub-images thereof and acorresponding reference image or sub-images thereof.

The encoder module 450 may comprise an information stream generationmodule 465, which may, for example, form information from the referenceimage generation module 465 and/or the motion estimation module 460 intoan information or data stream. The information stream generation module465 may, for example, utilize the communication module 470 tocommunicate the information stream to another device or system.

The encoder module 450 may, for example, comprise a graphics-processingmodule 475. The graphics processing module 475 may, for example,implement the various graphics processing discussed previously withregard to the methods 100, 200 shown in FIGS. 1-2 (e.g., method steps140 and 298).

The graphics processing module 475 may, for example, determine graphicalimage information. The graphics processing module 475 may, for example,compare graphical image portions of an image and a reference image todetermine movement between the graphical portion of the image and thereference image. The graphics processing module 475 may then, forexample, generate a signal comprising information indicative of themovement of the graphical portion of the image relative to acorresponding graphical portion of the reference image.

The information stream generation module 465 may, for example, combinegraphics information from the graphics-processing module 475 with imageinformation from the reference image generation module 455 and motionestimation module 460. Alternatively, for example, the informationstream generation module 465 may utilize the communication module 470 tocommunicate a graphics information stream separate from the imageinformation stream that comprises information from the reference imagegeneration module 455 and the motion estimation module 460.

FIG. 5 is a diagram showing an exemplary MPEG encoder 500 for performingapplication based adaptive encoding, in accordance with various aspectsof the present invention. The exemplary MPEG encoder 500 may, forexample, incorporate various components and/or implement variousfunctionality as described previously and shown in FIGS. 1-4. Forexample, the forward predictor, backward predictor, and motion estimatorblocks included in module 510 may incorporate various components and/orimplement various operations discussed previously and shown in FIGS.1-4.

The various modules and components discussed in the previous discussionmay, for example be implemented in hardware, software, or a combinationthereof. For example and without limitation, the various modulesdiscussed previously may be integrated in a single integrated circuit,or may, for example, be implemented utilizing a processor executingsoftware or firmware instructions. Accordingly, the scope of variousaspects of the present invention should by no means be limited bycharacteristics of particular hardware or software utilization orimplementations of various aspects of the present invention.

In summary, aspects of the present invention provide a system and methodfor encoding dynamic image information for an image generated by acomputer application executing on a processor. While the invention hasbeen described with reference to certain aspects and embodiments, itwill be understood by those skilled in the art that various changes maybe made and equivalents may be substituted without departing from thescope of the invention. In addition, many modifications may be made toadapt a particular situation or material to the teachings of theinvention without departing from its scope. Therefore, it is intendedthat the invention not be limited to the particular embodimentdisclosed, but that the invention will include all embodiments fallingwithin the scope of the appended claims.

1. A method for encoding dynamic image information for an imagegenerated by a computer application, the method comprising: determininga first set of information describing a reference image; determining asecond set of information describing an image, the second set ofinformation comprising information indicative of movement between theimage and the reference image, wherein determining the second set ofinformation comprises: determining, based at least in part on thecomputer application generating the image, a set of primary movementdirections for describing the image relative to the reference image;analyzing the difference between the image and the reference image usingat least one of the set of primary movement directions; and generatinginformation comprising movement direction information to describe theimage relative to the reference image.
 2. The method of claim 1, whereinthe movement direction information comprises only one or more of the setof primary movement directions.
 3. The method of claim 1, whereindetermining the set of primary movement directions comprises determiningan ordered list of movement directions in which the order of themovement directions in the ordered list is based on likelihood of theimage being displaced relative to the reference image by each of themovement directions in the ordered list.
 4. The method of claim 1,wherein determining the set of primary movement directions comprisesdetermining the set of primary movement directions based on how a userof the computer application is currently interacting with the computerapplication.
 5. The method of claim 1, wherein determining the set ofprimary movement directions comprises determining the set of primarymovement directions based on characteristics of a current image viewthat the computer application is generating.
 6. The method of claim 1,wherein determining the set of primary movement directions comprisesdetermining the set of primary movement directions based on imagemovement capability provided to a user by the computer application. 7.The method of claim 1, further comprising: determining, based at leastin part on the computer application generating the image, a set ofprimary movement distances for describing the image relative to thereference image; analyzing the difference between the image and thereference image using at least one of the set of primary movementdistances; and generating information comprising movement distanceinformation to describe the image relative to the reference image. 8.The method of claim 1, wherein analyzing the difference between theimage and the reference image comprises comparing the image to thereference image using each of the movement directions in the set ofprimary movement directions sequentially until a predetermined level ofaccuracy is achieved.
 9. The method of claim 1, further comprising:determining a graphical image; and determining movement of the graphicalimage between the image and the reference image.
 10. The method of claim1, wherein analyzing the difference between the image and the referenceimage comprises determining a best fit between a plurality ofdifferences based on movement directions in the set of primary movementdirections and the actual difference between the image and the referenceimage.
 11. An encoder module for encoding dynamic image information foran image generated by a computer application, the encoder modulecomprising: a first module that determines a first set of informationdescribing a reference image; a second module that determines a secondset of information describing an image, the second set of informationcomprising information indicative of movement between the image and thereference image, wherein the second module comprises: a first sub-modulethat determines, based at least in part on the computer applicationgenerating the image, a set of primary movement directions fordescribing the image relative to the reference image; a secondsub-module, communicatively coupled to the first sub-module, thatanalyzes the difference between the image and the reference image usingat least one of the set of primary movement directions, and generates asignal comprising information of movement direction between the imageand the reference image.
 12. The encoder module of claim 11, wherein thefirst module comprises a reference image generation module, the secondmodule comprises a motion estimation module, the first sub-modulecomprises a movement set determination sub-module, and the secondsub-module comprises a motion estimation sub-module.
 13. The encodermodule of claim 11, wherein the signal comprising information ofmovement direction comprises movement direction information of onlymovement directions in the set of primary movement directions.
 14. Theencoder module of claim 11, wherein the set of primary movementdirections comprises an ordered list of movement directions in which theorder of the movement directions in the ordered list is based onlikelihood of the image being displaced relative to the reference imageby each of the movement directions in the ordered list.
 15. The encodermodule of claim 11, wherein the first sub-module determines the orderedlist of movement directions based at least in-part on information of howthe current user is utilizing the computer application.
 16. The encodermodule of claim 11, wherein the first sub-module determines the set ofprimary movement directions based at least in-part on characteristics ofthe current image view being generated by the computer application. 17.The encoder module of claim 11, wherein the first sub-module determinesthe set of primary movement directions based at least in-part on imagemovement capability provided to a user by the computer application. 18.The encoder module of claim 11, wherein: the first sub-moduledetermines, based at least in-part on the computer applicationgenerating the image, a set of primary movement distances for describingthe image relative to the reference image; and the second sub-moduleanalyzes the difference between the image and the reference image usingat least one of the set of primary movement distances, and generates asignal comprising information of movement distance between the image andthe reference image.
 19. The encoder module of claim 11, wherein thesecond sub-module analyzes the difference between the image and thereference image by comparing the image to the reference image using eachof the movement directions in the set of primary movement directionssequentially until a predetermined level of accuracy is achieved. 20.The encoder module of claim 11, further comprising a third module,wherein the third module: determines a graphical image; determinesmovement of the graphical image between the image and the referenceimage; and generates a signal comprising information indicative of themovement of the graphical image between the image and the referenceimage.
 21. The encoder module of claim 20, wherein the third modulecomprises a graphics-processing module.
 22. The encoder module of claim11, wherein the second sub-module determines a best fit between aplurality of differences based on movement directions in the set ofprimary movement directions and the actual difference between the imageand the reference image.
 23. The encoder module of claim 11, wherein theencoder module is integrated into a single integrated circuit.
 24. Amethod for encoding dynamic image information for an image generated bya computer application, the method comprising: determining a first setof information describing a reference image; determining a second set ofinformation describing an image, the second set of informationcomprising information indicative of movement between the image and thereference image, wherein determining the second set of informationcomprises: determining, based at least in part on the computerapplication generating the image, a set of primary movement distancesfor describing the image relative to the reference image; analyzing thedifference between the image and the reference image using at least oneof the set of primary movement distances; and generating informationcomprising movement distance information to describe the image relativeto the reference image.
 25. The method of claim 24, wherein the movementdistance information comprises only one or more of the set of primarymovement distances.
 26. The method of claim 24, wherein determining theset of primary movement distances comprises determining an ordered listof movement distances in which the order of the movement distances inthe ordered list is based on likelihood of the image being displacedrelative to the reference image by each of the movement distances in theordered list.
 27. The method of claim 24, wherein analyzing thedifference between the image and the reference image comprisesdetermining a best fit between a plurality of differences based onmovement distances in the set of primary movement distances and theactual difference between the image and the reference image.
 28. Anencoder module for encoding dynamic image information for an imagegenerated by a computer application, the encoder module comprising: afirst module that determines a first set of information describing areference image; a second module that determines a second set ofinformation describing an image, the second set of informationcomprising information indicative of movement between the image and thereference image, wherein the second module comprises: a first sub-modulethat determines, based at least in part on the computer applicationgenerating the image, a set of primary movement distances for describingthe image relative to the reference image; a second sub-module,communicatively coupled to the first sub-module, that analyzes thedifference between the image and the reference image using at least oneof the set of primary movement distances, and generates a signalcomprising information of movement distance between the image and thereference image.
 29. The encoder module of claim 28, wherein the firstmodule comprises a reference image generation module, the second modulecomprises a motion estimation module, the first sub-module comprises amovement set determination sub-module, and the second sub-modulecomprises a motion estimation sub-module.
 30. The encoder module ofclaim 28, wherein the signal comprising information of movement distancecomprises movement distance information of only movement distances inthe set of primary movement distances.
 31. The encoder module of claim28, wherein the set of primary movement distances comprises an orderedlist of movement distances in which the order of the movement distancesin the ordered list is based on likelihood of the image being displacedrelative to the reference image by each of the movement distances in theordered list.
 32. The encoder module of claim 28, wherein the secondsub-module determines a best fit between a plurality of differencesbased on movement distances in the set of primary movement distances andthe actual difference between the image and the reference image.
 33. Theencoder module of claim 28, wherein the encoder module is integratedinto a single integrated circuit.